Integrating virtual objects into real images for augmented reality
Journal
Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
Pages
1-8
Date Issued
1998
Author(s)
Abstract
A systematic approach for integrating virtual objects into real images is developed in this paper. We propose the P3P-ICP method to solve the camera pose estimation problem. A robust tracking method is developed via the combination of the LMedS technique and the P3P-ICP method. With the 3D models and the robust tracking methods, we can determine the camera poses associated with each frame in the image sequence. Knowing the camera poses for each image frame, we can then integrate virtual objects into a video segment. © 1998 ACM.
Subjects
Augmented reality; Computer graphics; Computer vision
SDGs
Other Subjects
Cameras; Computer graphics; Computer vision; Image processing; Virtual reality; 3D models; Camera pose estimation; Image frames; Image sequence; Real images; Robust tracking methods; Video segments; Virtual objects; Augmented reality
Type
conference paper